QA Automation Engineer - Network and Distributed Systems

Ciroos, Inc.

India

On-site

INR 2,000,000 - 3,000,000

Full time

9 days ago
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Benefits offered by this job

Equity
Free lunches
Commuter benefits
401k (US) / Equivalent benefits

Job summary

Ciroos, Inc. in India is seeking a QA Automation Engineer with strong networking and distributed-systems expertise to join our on-site team.

You will build automation that tests the limits of complex systems under real-world stress and collaborate with infrastructure, Kubernetes, and distributed networks to break things in staging so they never break in production. You will design scalable testing frameworks for network and system-level validation, automate service-to-service checks, and

Qualifications

  • Strong networking fundamentals and experience with distributed systems.
  • Experience building automation frameworks and system-level tooling.
  • Proficiency in Python and Go for automation tasks.
  • Familiarity with Kubernetes and CI/CD pipelines.
  • Ability to debug production issues with logs, metrics, and traces.

Responsibilities

  • Design and build scalable automation frameworks for network, API, integration and system-level validation.
  • Build automated tests for service-to-service communication and distributed workflows.
  • Validate system behavior under network failures, latency, packet loss and partial failures.
  • Develop failure-injection and reliability tests for distributed systems.
  • Validate Kubernetes networking and multi-cluster behavior.
  • Integrate automated validation into CI/CD pipelines.
  • Analyze failures across logs, metrics, traces and network signals.
  • Partner with SRE, Platform and Backend teams to improve testability and observability.

Skills

Networking fundamentals
Distributed systems
Observability
Python
Go
Shell scripting

Education

Bachelor's degree in CS/Engineering or equiv

Tools

Kubernetes
VPCs
Load balancers
DNS
Terraform / Infra automation

Job description

We Didn't Build Ciroos to Play It Safe. Join the Team That's Rewriting Reliability.

Ciroos is an early-stage AI company founded by operators who’ve built businesses from $0 to $5B+. We’re tackling one of the hardest unsolved problems in enterprise technology — and we’re doing it fast. If you want your work to matter, ship quickly, and build alongside people who’ve done this before, you’re in the right place.

The Ciroos Culture

Mission That Matters

You're not building features. You're preventing the kind of failures that make headlines. Every engineer at Ciroos works on problems that have a direct line to customer outcomes.

Move Fast. See the Impact.

Early-stage means your work ships quickly. You'll see it in production, hear about it from customers, and iterate — not wait three years for your roadmap to land.

Build With the Best

Our founding team holds 84 patents and has scaled businesses to $5B+. You'll work alongside people who've built and operated systems at scale — and who have strong opinions about how to do it right.

Grow Fast Here

We invest in people who are curious, coachable, and hungry. Our Growth Mindset value isn't a poster on the wall — it's how we operate every day. If you're learning, you're contributing.

How We Operate

Ciroos is built on the belief that the best teams move fast, stay honest, and never stop learning. We’re customer-obsessed in the truest sense — everyone here owns customer problems, not just the people with "customer" in their title. We treat time as a forcing constraint: if something matters, we move on it. We debate hard, disagree openly, and commit fully once a decision is made — because that’s how high-trust teams actually operate. We hire people who ask “what did I learn today?” not “did I avoid making a mistake?” Growth mindset isn’t a value we aspire to — it’s the baseline we hire for. We’re early-stage, which means the work is harder and the stakes are higher. If that sounds like a place you’d thrive, it probably is.

Comprehensive medical, vision, and dental benefits. 401k plans and commuter benefits (US employees). Free lunches, snacks, and top-of-the-line espressos!

Equity

Equity that could change your life, not just look nice on paper. QSBS eligibility for US employees.

Teamwork

Collaborative coworkers with high IQ and high EQ. No politics. No bureaucracy. No permission-seeking.

Stewardship

A career-defining, high-impact role with plenty of mentorship opportunities from founders and other coworkers.

Job Openings
QA Automation Engineer - Network and Distributed Systems
Location
Employment Type

Full time

Location Type

On-site

Department

Role Overview

We are looking for a QA Automation Engineer with strong networking and distributed-systems expertise who can operate at the intersection of quality, reliability, and system-level testing.

This goes far beyond a traditional QA role. In this role, you’ll build automation that tests the limits of complex systems under real-world stress, network chaos, and massive scale. You will work closely with infrastructure, Kubernetes, and distributed networks to break things in staging so they never break in production.

What You’ll Work On

Kubernetes-based distributed systems and multi-cluster environments

Network-heavy distributed systems and service-to-service communication

L2/L3 networking and cloud networking scenarios

Load balancers, VPCs, routing, DNS and connectivity

Network failures, latency, packet loss and service degradation

Observability and alerting pipelines

Reliability validation and failure-injection testing

API, integration, system and end-to-end automation

Infrastructure and deployment automation

CI/CD pipelines and reliability gates

Key Responsibilities

Design and build scalable automation frameworks for network, API, integration and system-level validation

Build automated tests for service-to-service communication and distributed workflows

Validate system behavior under network failures, latency, packet loss, connectivity issues and partial failures

Develop failure-injection and reliability tests for distributed systems

Validate Kubernetes networking and multi-cluster behavior

Integrate automated validation into CI/CD pipelines

Analyze failures across logs, metrics, traces and network signals

Partner with SRE, Platform and Backend teams to make systems more testable and observable

Perform deep-dive root cause analysis on system and network failures

Build reusable testing utilities and infrastructure

Help establish reliability and quality standards across the platform

Technical Expectations

Networking fundamentals and distributed systems

TCP/IP, DNS, HTTP/HTTPS and service communication

Network failure modes and troubleshooting

Observability and production debugging

Strong Hands-on Experience With

VPCs, load balancers, routing and IAM

Network troubleshooting and debugging

API and integration testing

Programming

Strong coding skills in Python and Go (mandatory)

Experience building automation frameworks and system-level tooling

Proficiency in Shell scripting and infrastructure automation

What Makes This Role Different

You won't just test whether an API returns the expected response. You'll ask:

"What happens when the network behaves badly?"

Can the system detect it?

Can it recover?

Does it fail safely?

Are the right signals generated?

Can we automatically validate that behavior?

That's the kind of QA engineering we're looking for.

About Ciroos

We are an early-stage AI startup focused on Site Reliability Engineering (SRE). Rather than being another observability platform, its goal is to act as an AI SRE teammate that works alongside SRE, DevOps, Platform Engineering, Cloud Operations, and IT Operations teams to investigate incidents, determine root causes, and automate remediation.

Our team includes experienced entrepreneurs and engineers who have built multiple billion-dollar products from scratch. As a well-funded US-based company backed by top-tier VCs, we have offices in the US, India, and Europe. Join us in our fast-paced environment where you’ll have a front-row seat to shape the future of AI-driven Observability solutions.

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